Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- KINGS COLLEGE LONDON
- University of Oxford
- King's College London
- University of London
- Durham University
- AALTO UNIVERSITY
- Queen Mary University of London;
- University of Oxford;
- Aston University
- Heriot Watt University
- jobs.ac.uk
- ;
- Birkbeck, University of London;
- Georgetown University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Liverpool
- University of Nottingham
- 10 more »
- « less
-
Field
-
on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
-
the SMARTbiomed Collaboration. The primary focus of this post will be the development of computational pipelines for the automated extraction and discovery of image-derived phenotypes (IDPs) across
-
of Python libraries, building on existing prototypes. Construction of a computer vision pipeline to aid knowledge graph construction. Implementation of a prototype interface, developed with the design team
-
frameworks is essential. Experience of working with UK Biobank imaging or similar large-scale population would be desirable. Diversity Committed to equality and valuing diversity Application Process You will
-
About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
-
& Medicine. Department: Res Dept of Cancer Imaging. Contact details:Dr Thomas Booth. thomas.booth@kcl.ac.uk Location: St Thomas Campus. Category: Research. About Us The appointee will join the School
-
, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging
-
, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modelling. Imaging
-
RNA-seq analysis, bioinformatics and imaging is also advantageous. You will be one of two post-doctoral researchers working on this MRC-Funded Project. One researcher is already working in the research
-
cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and